Master Telecommunications - end to end

It is a practitioner-led program covering telecom end to end - network operations and OSS, BSS and billing, customer experience and CRM, 5G and network data, and telecom analytics, AI, and automation - organized into five deep tracks with hands-on labs.

It suits network operations, OSS, BSS, and billing professionals, revenue-assurance and customer-experience teams, telecom data engineers and scientists, 5G and edge engineers, AIOps practitioners, consultants, and graduates entering the sector.

No. The program builds from how telecom networks and business systems work to advanced analytics and AI. Prerequisites per track are shared on enquiry.

Network Operations & OSS; BSS, Billing & Revenue Management; Customer Experience & CRM; 5G, Network Data & Edge; and Telecom Analytics, AI & Automation.

On completion you receive a Yukti Certified Telecom Professional credential - a badge and transcript. Where a track maps to an external certification, aligned preparation is included.

Both. Self-paced access and mentor-led cohorts are available, along with private corporate delivery tailored to your team.

Yes. Every track can be delivered as a private corporate cohort, tailored to your systems, data, and objectives. Contact us to scope a program.

An operator plans and runs a network, provisions and assures services, acquires and bills customers, manages revenue and fraud, cares for and retains customers, and increasingly uses analytics and AI across all of it. The program traces this lifecycle explicitly.

Operational Support Systems manage the network - inventory, provisioning, fault, and performance - keeping service running and quality high.

Business Support Systems handle the commercial side - customers, orders, products, and billing - turning network usage into revenue.

OSS runs the network and service; BSS runs the business and monetization. Together they cover the operator's operational and commercial systems.

Revenue assurance reconciles usage, rating, and billing to detect and recover revenue leakage - a major concern given telecom's scale and thin margins.

Revenue leakage is revenue an operator is entitled to but fails to bill or collect, due to errors across the usage-to-billing chain.

Rating and charging convert network usage into chargeable events and amounts, based on the customer's plan and the product catalog.

Order-to-cash is the end-to-end flow from a customer order through provisioning and service delivery to billing and payment.

Churn is the rate at which customers leave. Predicting and reducing churn is central to value in a saturated, competitive market.

Next-best-action uses analytics to determine the most valuable action - offer, retention, or care - to take for a customer at a given moment.

Customer 360 unifies a customer's data across network, billing, care, and channels into a single view that powers analytics and experience.

5G is the fifth generation of mobile networks, offering higher capacity, lower latency, and network slicing, enabling new consumer and enterprise services.

Network slicing partitions a 5G network into virtual networks with different characteristics, tailored to different services or customers.

The Radio Access Network (RAN) connects devices over the air; the core network handles routing, signalling, and services behind it.

Network Functions Virtualization (NFV) runs network functions as software; Software-Defined Networking (SDN) separates network control from hardware - together enabling cloud-native networks.

Edge computing places compute close to users and devices, enabling low-latency services and offloading traffic from the core.

AIOps applies AI to IT and network operations, automating detection, correlation, and remediation to make operations faster and more reliable.

AI powers churn and fraud prediction, network optimization, capacity planning, AIOps, customer care, and increasingly generative and agentic assistants - under governance.

Telecom fraud is the abuse of networks and services to obtain services or revenue illegitimately, detected through analytics and models.

SQL and data modelling, Python for analysis, familiarity with Snowflake, Databricks, Spark, and Kafka for large-scale network data, and BI and ML skills.

A governed platform that unifies network, customer, and billing data at scale for analytics, AI, and automation.

Projects span a telecom data lake, network performance dashboards, revenue-assurance analytics, Customer 360, churn prediction, fraud detection, 5G analytics, AIOps, IoT/edge analytics, capacity planning, and an AI care assistant.

Roles include network operations and OSS analyst, BSS and billing analyst, revenue-assurance and customer-insights analyst, telecom and network data engineer, 5G and AIOps engineer, data scientist, consultant, architect, and Chief Digital Officer.

Yes. Telecom is being reshaped by 5G, edge, AI, and automation, sustaining strong demand for professionals who combine domain knowledge with data and technology skills.

It depends on the track mix and delivery mode. Self-paced learners progress at their own pace; cohorts follow a structured schedule. Timelines are shared on enquiry.

Yes. The program addresses global telecom with attention to the USA, Canada, UK, Europe, the Middle East, Singapore, India, and Australia, and to the market structures and regulations specific to each.

Service assurance ensures that services meet quality and availability targets, correlating network and service data to detect and resolve issues.

Fault management detects, correlates, and resolves network faults, minimizing service impact and downtime.

Performance management monitors network KPIs - throughput, latency, quality - to maintain and improve service.

A Mobile Virtual Network Operator provides mobile services using another operator's network, without owning the full infrastructure.

A tower company owns and operates passive network infrastructure (towers), leasing capacity to operators.

The telecom program integrates with our data engineering, cloud platform, data science, and AI governance tracks, giving you both domain depth and technical skills.

Telecom data models, network- and revenue-analytics notebooks, OSS/BSS process maps, a capstone proof-of-value and executive pack, and the Yukti Certified Telecom Professional credential.

Capacity planning forecasts network demand and plans investment to ensure coverage and quality without over-building.

A network KPI measures network performance - such as availability, throughput, latency, or drop rate - used to manage quality.

The Internet of Things connects large numbers of devices over telecom networks, generating new traffic, services, and data.

A digital service provider is an operator that extends beyond connectivity into digital products, content, and platforms.

Use the contact form to tell us whether you want individual enrolment or corporate delivery, and a senior practitioner will respond to scope the right next step.

It combines genuine domain depth across networks, OSS/BSS, customer experience, and 5G with the data, cloud, and AI skills that now run through telecom - organized into five practitioner-led tracks, reinforced with labs and portfolio projects.

Convergence combines fixed, mobile, and digital services into unified offerings and networks, reshaping operators and customer experience.

Average Revenue Per User measures the revenue an operator earns per subscriber, a core metric for monetization and growth.

A Call Detail Record captures the details of a usage event - such as a call or data session - and is the raw input to rating, billing, and analytics.

Spectrum is the range of radio frequencies licensed to operators to carry wireless traffic; it is a scarce, regulated, and valuable asset.